The 1994 Ieee International Conference On Neural Networks Iv

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From Natural to Artificial Neural Computation

Author : Jose Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540594970
Total Pages : 1182 pages
Book Rating : 4.5/5 (949 download)

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Book Synopsis From Natural to Artificial Neural Computation by : Jose Mira

Download or read book From Natural to Artificial Neural Computation written by Jose Mira and published by Springer Science & Business Media. This book was released on 1995-05-24 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995. The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.

Pattern Recognition and Neural Networks

Author : Brian D. Ripley
Publisher : Cambridge University Press
ISBN 13 : 9780521460866
Total Pages : 422 pages
Book Rating : 4.4/5 (68 download)

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Book Synopsis Pattern Recognition and Neural Networks by : Brian D. Ripley

Download or read book Pattern Recognition and Neural Networks written by Brian D. Ripley and published by Cambridge University Press. This book was released on 1996-01-18 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Author :
Publisher : CRC Press
ISBN 13 : 1135439621
Total Pages : 1142 pages
Book Rating : 4.1/5 (354 download)

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Book Synopsis by :

Download or read book written by and published by CRC Press. This book was released on with total page 1142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Kalman Filtering and Neural Networks

Author : Simon Haykin
Publisher : John Wiley & Sons
ISBN 13 : 047146421X
Total Pages : 302 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Kalman Filtering and Neural Networks by : Simon Haykin

Download or read book Kalman Filtering and Neural Networks written by Simon Haykin and published by John Wiley & Sons. This book was released on 2004-03-24 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover: An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF) Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes The dual estimation problem Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm The unscented Kalman filter Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems.

Neural Networks and Statistical Learning

Author : Ke-Lin Du
Publisher : Springer Science & Business Media
ISBN 13 : 1447155718
Total Pages : 834 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author : Suhaiza Hanim Binti Dato Mohamad Zailani
Publisher : Springer Nature
ISBN 13 : 9464632569
Total Pages : 1820 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) by : Suhaiza Hanim Binti Dato Mohamad Zailani

Download or read book Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) written by Suhaiza Hanim Binti Dato Mohamad Zailani and published by Springer Nature. This book was released on 2023-11-10 with total page 1820 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book.Management science aims to study the dynamic study of human use of limited resources in management activities to achieve organizational goals: complex and innovative social behavior and its laws. And engineering management refers to the management of important and complex new products, equipment and devices in the process of development, manufacturing and production, and also includes the study and management of technological innovation, technological transformation, transformation, transformation, layout and strategy of industrial engineering technology development. The development or breakthrough of management theory is accompanied by the development and progress of science and technology, and the level of science and technology and the level of management theory in each historical period are mutually adaptive, and it can be said that the progress of science and technology plays an important role in promoting the development of management. At the same time, the rapid development and progress of science and technology give a strong injection to the development of engineering, and provide the possibility for engineering construction can use new technology, new equipment, new technology and new materials. Modern management is an important development direction of management science nowadays. And the use of modern management in engineering has an important role in saving social costs, ensuring project quality, and improving safety awareness and behavior. ICMSEM 2023 will focus on modern management, discuss about the benefits that modernization brings to engineering. ICMSEM 2023 aims to: Develop and advance management science through the study and application of certain issues. Open up new perspectives in the sharing of speakers and inspire the audience to new ways of managing in engineering. Create a forum for sharing, research and exchange at the international level, so that the participants can be informed of the latest research directions, results and contents of management science, which will inspire them to new ideas for research and practice.

Neural Network Analysis, Architectures and Applications

Author : A Browne
Publisher : CRC Press
ISBN 13 : 9780750304993
Total Pages : 294 pages
Book Rating : 4.3/5 (49 download)

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Book Synopsis Neural Network Analysis, Architectures and Applications by : A Browne

Download or read book Neural Network Analysis, Architectures and Applications written by A Browne and published by CRC Press. This book was released on 1997-01-01 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives. Divided into three parts, the book first lays the groundwork for understanding and simplifying networks. It then describes novel architectures and algorithms, including pulse-stream techniques, cellular neural networks, and multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image compression. This final part of the book also provides a case study involving oil spill detection. This book is invaluable for students and practitioners who have a basic understanding of neural computing yet want to broaden and deepen their knowledge of the field.

An Introduction to Neural Networks

Author : Kevin Gurney
Publisher : CRC Press
ISBN 13 : 1482286998
Total Pages : 148 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis An Introduction to Neural Networks by : Kevin Gurney

Download or read book An Introduction to Neural Networks written by Kevin Gurney and published by CRC Press. This book was released on 2018-10-08 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

Knowledge-Based Systems, Four-Volume Set

Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080535283
Total Pages : 1554 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Knowledge-Based Systems, Four-Volume Set by : Cornelius T. Leondes

Download or read book Knowledge-Based Systems, Four-Volume Set written by Cornelius T. Leondes and published by Elsevier. This book was released on 2000-07-11 with total page 1554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making.With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

Condition Monitoring with Vibration Signals

Author : Hosameldin Ahmed
Publisher : John Wiley & Sons
ISBN 13 : 1119544645
Total Pages : 498 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Condition Monitoring with Vibration Signals by : Hosameldin Ahmed

Download or read book Condition Monitoring with Vibration Signals written by Hosameldin Ahmed and published by John Wiley & Sons. This book was released on 2019-12-03 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.

Multidimensional Signals, Augmented Reality and Information Technologies

Author : Roumen Kountchev
Publisher : Springer Nature
ISBN 13 : 9819970113
Total Pages : 379 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Multidimensional Signals, Augmented Reality and Information Technologies by : Roumen Kountchev

Download or read book Multidimensional Signals, Augmented Reality and Information Technologies written by Roumen Kountchev and published by Springer Nature. This book was released on 2024-02-05 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality, peer-reviewed research papers presented at Second 'World Conference on Intelligent and 3-D Technologies' (WCI3DT 2023), held in China during May 26–28, 2023. The book provides an opportunity to researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications and other related areas. The book presents ideas and the works of scientists, engineers, educators and students from all over the world from institutions and industries.

Design and Control of Intelligent Robotic Systems

Author : Dikai Liu
Publisher : Springer
ISBN 13 : 3540899332
Total Pages : 491 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Design and Control of Intelligent Robotic Systems by : Dikai Liu

Download or read book Design and Control of Intelligent Robotic Systems written by Dikai Liu and published by Springer. This book was released on 2009-01-22 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers. This edited book entitled “Design and Control of Intelligent Robotic Systems” in the book series of “Studies in Computational Intelligence” is a collection of some advanced research on design and control of intelligent robots. The works presented range in scope from design methodologies to robot development. Various design approaches and al- rithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included. We also would like to mention that most studies reported in this book have been implemented in physical systems. An overview on the applications of computational intelligence in bio-inspired robotics is given in Chapter 1 by M. Begum and F. Karray, with highlights of the recent progress in bio-inspired robotics research and a focus on the usage of computational intelligence tools to design human-like cognitive abilities in the robotic systems. In Chapter 2, Lisa L. Grant and Ganesh K. Venayagamoorthy present greedy search, particle swarm optimization and fuzzy logic based strategies for navigating a swarm of robots for target search in a hazardous environment, with potential applications in high-risk tasks such as disaster recovery and hazardous material detection.

Neural Systems for Robotics

Author : Omid Omidvar
Publisher : Academic Press
ISBN 13 : 0125262809
Total Pages : 369 pages
Book Rating : 4.1/5 (252 download)

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Book Synopsis Neural Systems for Robotics by : Omid Omidvar

Download or read book Neural Systems for Robotics written by Omid Omidvar and published by Academic Press. This book was released on 1997-04-10 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance. Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology Represents the most up-to-date developments in this rapidly growing application area of neural networks Contains a new and novel approach to solving Robotics problems

Complex-Valued Neural Networks

Author : Akira Hirose
Publisher : John Wiley & Sons
ISBN 13 : 1118590066
Total Pages : 238 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Complex-Valued Neural Networks by : Akira Hirose

Download or read book Complex-Valued Neural Networks written by Akira Hirose and published by John Wiley & Sons. This book was released on 2013-05-08 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron and superconducting waves. This fact is a critical advantage in practical applications in diverse fields of engineering, where signals are routinely analyzed and processed in time/space, frequency, and phase domains. Complex-Valued Neural Networks: Advances and Applications covers cutting-edge topics and applications surrounding this timely subject. Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural networks Quaternionic neural networks Clifford-algebraic neural networks Presented by international experts in the field, Complex-Valued Neural Networks: Advances and Applications is ideal for advanced-level computational intelligence theorists, electromagnetic theorists, and mathematicians interested in computational intelligence, artificial intelligence, machine learning theories, and algorithms.

Principal Component Analysis Networks and Algorithms

Author : Xiangyu Kong
Publisher : Springer
ISBN 13 : 9811029156
Total Pages : 339 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Principal Component Analysis Networks and Algorithms by : Xiangyu Kong

Download or read book Principal Component Analysis Networks and Algorithms written by Xiangyu Kong and published by Springer. This book was released on 2017-01-09 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the deterministic discrete-time systems method to analyze the convergence of PCA/MCA algorithms. Readers should be familiar with numerical analysis and the fundamentals of statistics, such as the basics of least squares and stochastic algorithms. Although it focuses on neural networks, the book only presents their learning law, which is simply an iterative algorithm. Therefore, no a priori knowledge of neural networks is required. This book will be of interest and serve as a reference source to researchers and students in applied mathematics, statistics, engineering, and other related fields.

Neural Network Modeling and Identification of Dynamical Systems

Author : Yury Tiumentsev
Publisher : Academic Press
ISBN 13 : 0128154306
Total Pages : 334 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Neural Network Modeling and Identification of Dynamical Systems by : Yury Tiumentsev

Download or read book Neural Network Modeling and Identification of Dynamical Systems written by Yury Tiumentsev and published by Academic Press. This book was released on 2019-05-17 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. - Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training - Offers application examples of dynamic neural network technologies, primarily related to aircraft - Provides an overview of recent achievements and future needs in this area

Image Processing Using Pulse-Coupled Neural Networks

Author : Thomas Lindblad
Publisher : Springer Science & Business Media
ISBN 13 : 3540282939
Total Pages : 169 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Image Processing Using Pulse-Coupled Neural Networks by : Thomas Lindblad

Download or read book Image Processing Using Pulse-Coupled Neural Networks written by Thomas Lindblad and published by Springer Science & Business Media. This book was released on 2005-11-28 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.